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@langfuse

langfuse.com

@langfuse
Open source AI engineering platform. Now part of @clickhousedb. We're hiring: langfuse.com/join-us
github.com/langfuse/langfuse
langfuse.com
Joined July 2023
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  • Pinned
    @langfuse
    langfuse.com
    @langfuse
    May 14
    Building high-quality AI systems is hard. At Langfuse we see the best AI teams converging on a process to get complex AI systems to production. We call it the AI Engineering Loop. Check out the first piece of our series and find out more in our academy
    @annabellschfr
    Annabell
    langfuse.com
    @annabellschfr
    May 14
    Article cover image
    Article
    The AI Engineering Loop - Building quality AI Systems that scale
    This is one piece of a series we’re publishing as part of the Langfuse Academy, where we walk through the full AI engineering lifecycle. The AI Engineering Loop Building high-quality AI systems that...
    6
  • @langfuse
    langfuse.com
    @langfuse
    9h
    llm-as-a-judge evaluators now support multi-modal inputs. score the images, audio, video, PDFs, and text files captured in your observations. prompts can be multi-message too: system for the criteria, user for the content. langfuse.com/changelog/2026…
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    1
  • @langfuse
    langfuse.com
    @langfuse
    Sep 4
    the trace timeline now fits any trace on one screen. twelve spans or twelve hundred. zoom like a map: scroll to pan, pinch or cmd-scroll to zoom both axes, double-click an observation to fly to it. zoomed out, color carries the observation type. langfuse.com/changelog/2026…
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    3
  • @langfuse
    langfuse.com
    @langfuse
    Sep 1
    12x faster iteration velocity! 🏃‍♀️‍➡️ This is what the @slitehq team achieved by setting up a Langfuse managed dataset to run and evaluate their changes against. Learn more about their setup and how the close the AI Engineering Loop with Langfuse 👇️
    @langfuse
    langfuse.com
    @langfuse
    Aug 31
    "Langfuse allowed us to go from reliable changes every few months to iterating multiple times a week..." @slitehq builds an AI knowledge base that keeps a company's docs current. And they evaluate every change with Langfuse datasets! langfuse.com/users/slite
    2
  • @langfuse
    langfuse.com
    @langfuse
    Sep 1
    Introducing out new evaluator template gallery! The right evaluator setup depends on the specific application context and the failure modes observed. But some general evaluation and classification approaches provide a great starting point early on. Use the templates to: ✔️
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